Courses

The participants will be acquainted with the basic principles of epidemiological research. These include measures of disease frequency and exposure measurement, basic health measurement (clinimetrics), basic study design (including randomized controlled trials, cohort studies, case control studies, and cross-sectional studies), measures of association, validity and bias in epidemiological resea…

This course covers the fundamental toolbox of biostatistical methods plus a solid methodological basis to properly interpret statistical results. The course is a mandatory part of the LUMC Graduate School Program and a prerequisite for any of the advanced biostatistical courses offered by the LUMC. This is a basic course, targeted at a wide audience. The course is given during a single week fro…

This course provides statistical methods to study the association between (multiple) determinants and the occurrence of an outcome event. The course starts with an introduction to likelihood theory, using simple examples and a minimum of mathematics. Next, the most important regression models used in medical research are introduced. Topics are: maximum-likelihood methods, logistic regression, m…

In this course the principles and practice of cohort, case-control and cross-sectional studies are taught. Design, data collection and outcome measures are discussed, as well as the major advantages and disadvantages of the different study designs. Emphasis is on the application of study design in etiologic research. The course focuses on the more classical approach but also addresses modern co…

The aim of this course is to bring all students, irrespective of their prior knowledge, up to the necessary level to enable them to participate in other statistical courses such as: Classical Methods in Data Analysis. The course is offered partly online and partly face to face on campus.

Qualitative research is becoming more prominent in medicine and health care. In this 5-day course, students will be introduced to the basic principles of qualitative research methods in medicine. Students will be equipped with the necessary knowledge and skills to design, conduct and report on qualitative research. In addition, the basic principles of data-analysis using the qualitative data an…

This course starts with the basic applications of biostatistics in the analysis of medical research data. Topics are: types of data, location and variability measures, samples and populations, distributions, confidence intervals, hypothesis testing, comparing two or more means or proportions (parametric and non-parametric methods), and relationships between two variables (correlation, simple li…

This course provides insight in the basic terminology and principles used in epidemiology. The course starts with the history and design of epidemiological research, and the different measures of frequency and association. Also, the principles of bias and confounding are addressed.

Het zelf uitvoeren van (klinisch) epidemiologisch onderzoek, maar ook het beoordelen van de resultaten van anderen, vereist grondige kennis van de beginselen van epidemiologische data-analyse. Hierbij speelt de biostatistiek een belangrijke rol. Met behulp van methoden en technieken van de biostatistiek kunnen de uitkomsten van epidemiologische onderzoeken worden samengevat (beschrijvende stati…

Meetinstrumenten zijn nodig bij diagnostiek, bepalen van de gezondheidstoestand, prognostiek en bij de evaluatie van de effecten van behandelingen. Meetinstrumenten kunnen gebaseerd zijn op lichamelijk onderzoek, zelfrapportage (vragenlijsten), functietesten, laboratoriumbevindingen, beeldvormende technieken e.d. Elke onderzoeker in de gezondheidszorg maakt in zijn onderzoek gebruik van één of …